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Vector-output ReLU Neural Network Problems are Copositive Programs:
  Convex Analysis of Two Layer Networks and Polynomial-time Algorithms

Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms

24 December 2020
Arda Sahiner
Tolga Ergen
John M. Pauly
Mert Pilanci
    MLT
ArXivPDFHTML

Papers citing "Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms"

14 / 14 papers shown
Title
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
Yikun Hou
Suvrit Sra
A. Yurtsever
34
0
0
28 Jan 2025
Analyzing Neural Network-Based Generative Diffusion Models through
  Convex Optimization
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization
Fangzhao Zhang
Mert Pilanci
DiffM
54
3
0
03 Feb 2024
The Convex Landscape of Neural Networks: Characterizing Global Optima
  and Stationary Points via Lasso Models
The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models
Tolga Ergen
Mert Pilanci
21
2
0
19 Dec 2023
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
102
33
0
29 Apr 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks
  with Soft-Thresholding
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
Chunyan Xiong
Meng Lu
Xiaotong Yu
JIAN-PENG Cao
Zhong Chen
D. Guo
X. Qu
MLT
43
0
0
14 Apr 2023
Unraveling Attention via Convex Duality: Analysis and Interpretations of
  Vision Transformers
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Arda Sahiner
Tolga Ergen
Batu Mehmet Ozturkler
John M. Pauly
Morteza Mardani
Mert Pilanci
43
33
0
17 May 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Aaron Mishkin
Arda Sahiner
Mert Pilanci
OffRL
77
30
0
02 Feb 2022
Path Regularization: A Convexity and Sparsity Inducing Regularization
  for Parallel ReLU Networks
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
Tolga Ergen
Mert Pilanci
34
16
0
18 Oct 2021
The Convex Geometry of Backpropagation: Neural Network Gradient Flows
  Converge to Extreme Points of the Dual Convex Program
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
Yifei Wang
Mert Pilanci
MLT
MDE
55
11
0
13 Oct 2021
Parallel Deep Neural Networks Have Zero Duality Gap
Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang
Tolga Ergen
Mert Pilanci
79
10
0
13 Oct 2021
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via
  Convex Programs
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Tolga Ergen
Mert Pilanci
OffRL
MLT
42
33
0
11 Oct 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network
  Training
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training
Yatong Bai
Tanmay Gautam
Yujie Gai
Somayeh Sojoudi
AAML
27
3
0
25 May 2021
Nonparametric Learning of Two-Layer ReLU Residual Units
Nonparametric Learning of Two-Layer ReLU Residual Units
Zhunxuan Wang
Linyun He
Chunchuan Lyu
Shay B. Cohen
MLT
OffRL
36
1
0
17 Aug 2020
Convex Geometry and Duality of Over-parameterized Neural Networks
Convex Geometry and Duality of Over-parameterized Neural Networks
Tolga Ergen
Mert Pilanci
MLT
47
54
0
25 Feb 2020
1